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《Chinese Journal of Underground Space and Engineering》 2009-03
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Stiffness Reliability Study of Retaining Structure of Deep Foundation Pit Based on RBF-RS Method

HOU Gong-yu1,ZHENG Yong2 (1.School of Mechanics and Civil Engineering,China University of Mining and Technology,Beijing 100083,China; 2.Office of Town and Village Construction,Meishan Town,Changxing County,Zhejiang 311117,China)  
The security of supporting structure of deep foundation pit and its impact on the surrounding environment is increasingly prominent.The application of reliability theory to solve such security problems attracts more attention.For the relationship between the deformation of supporting structure of deep foundation pit and its influencing factors is difficult to express with a function,the reliability of stiffness in the supporting structure of deep foundation pit is difficult to be calculated.In order to improve the disadvantages of inaccuracy and inefficiency of existing reliability calculation method in dealing with stiffness reliability of deep foundation pit,the method of making use of the sample calculated by FEM method to train the RBF neural network is proposed in this paper,it fits the limited performance function of stiffness reliability calculation of deep foundation pit on the ground of RBF neural network,and get the stiffness reliability solution by optimization method.It demonstrates that the method proposed in this paper greatly improved the efficiency in computing under the premise of ensuring the accuracy and the results of this paper will give a reference for the stiffness reliability design of deep foundation pit.
【CateGory Index】: TU476
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【Citations】
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